{
  "abstract": "Article-first SharePlane thesis defining demo debt as the liability created when impressive AI demos are mistaken for supportable operational capability.",
  "author": {
    "email": "tony@malott.ai",
    "email_url": "mailto:tony@malott.ai",
    "id": "person:tony-malott",
    "name": "Tony Malott",
    "resume_url": "https://malott.ai/resume/",
    "url": "https://malott.ai/"
  },
  "card": {
    "kicker": "Operating caution",
    "orientation": "Visible capability arrives quickly. Operational consequence arrives immediately afterward.",
    "visual_motif": "demo-to-operations"
  },
  "claims": [
    {
      "caveat": "Context claim supporting the owner thesis.",
      "id": "claim:demo-debt:001",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:bcg-2026",
        "source:demo-debt:mckinsey-2025"
      ],
      "text": "AI adoption is broad, but organizations are struggling to convert usage into durable value."
    },
    {
      "id": "claim:demo-debt:002",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:mckinsey-2025"
      ],
      "text": "Many organizations remain in AI pilot or experimentation stages despite high adoption."
    },
    {
      "id": "claim:demo-debt:003",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:gartner-2025"
      ],
      "text": "Agentic AI is especially vulnerable to hype, unclear value, cost escalation, and weak risk controls."
    },
    {
      "id": "claim:demo-debt:004",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:mckinsey-2025",
        "source:demo-debt:deloitte-2026"
      ],
      "text": "Workflow redesign, KPI tracking, governance, data infrastructure, and talent practices distinguish scaling from experimentation."
    },
    {
      "id": "claim:demo-debt:005",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:deloitte-2026"
      ],
      "text": "Governance, human oversight, auditability, and retained system behavior records matter as AI moves from experimentation to deployment."
    },
    {
      "id": "claim:demo-debt:006",
      "posture": "strongly-supported",
      "support": [
        "source:demo-debt:wef-2025"
      ],
      "text": "Skill gaps are a major barrier to business transformation, making demo evaluation and operational capability more important."
    },
    {
      "caveat": "The term and operating-model interpretation are Tony Malott's thesis framing.",
      "id": "claim:demo-debt:007",
      "posture": "owner-thesis",
      "support": [
        "source:demo-debt:bcg-2026",
        "source:demo-debt:mckinsey-2025",
        "source:demo-debt:gartner-2025",
        "source:demo-debt:deloitte-2026",
        "source:demo-debt:wef-2025"
      ],
      "text": "Demo debt is a distinct operating liability created when a proof or prototype is mistaken for a supportable production system."
    }
  ],
  "collections": [
    {
      "id": "collection:governed-ai-operations",
      "position": 1,
      "title": "Governed AI operations"
    }
  ],
  "dates": {
    "created": "2026-07-08",
    "migrated": "2026-07-19",
    "updated": "2026-07-08"
  },
  "featured": false,
  "format": {
    "depth": "Operational deep read",
    "interaction": "Static long-form reading",
    "label": "Operational Ai Essay",
    "reading_time": "15 min"
  },
  "graph_order": 5,
  "id": "artifact:demo-debt",
  "lifecycle": {
    "merge_authority": "granted-for-pr-8",
    "owner_review": "accepted-information-design-lock-v01",
    "state": "MERGE_READY"
  },
  "migration": {
    "admission_id": "admission:demo-debt",
    "content_fidelity": "Platform-native Markdown projected from the predecessor's generated public-safe context anchored to an owner-approved, merged, creatively locked page. Article wording is preserved; predecessor page chrome and implementation are excluded.",
    "disposition": "redesign",
    "source_locators": [
      "content/artifacts/demo-debt/artifact.json",
      "content/artifacts/demo-debt/page.html",
      "site/artifacts/demo-debt/context.txt"
    ],
    "source_repository": "pinklon/pinklon-shareplane-next"
  },
  "presentation_status": "locked",
  "provenance": {
    "ai_assistance": {
      "role": "platform-native source projection, metadata normalization, reader-relationship explanation, rendering, and validation",
      "used": true
    },
    "boundary": "Uses the locked public-safe HTML article and its reader-facing public source index. No raw private source packets, transcripts, screenshots, employer material, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency is published.",
    "posture": "public-source-supported-owner-thesis",
    "sources": [
      {
        "description": "Supports the adoption-versus-value argument. BCG reports broad frontline AI use, substantial reported time savings among regular users, and a major gap in converting saved time into strategic value.",
        "id": "source:demo-debt:bcg-2026",
        "locator": "https://www.bcg.com/publications/2026/ai-at-work-why-strategy-matters-more-than-tools",
        "publiclyExposed": true,
        "role": "adoption and value context",
        "title": "AI at Work: Why Strategy Matters More Than Tools",
        "type": "public-report"
      },
      {
        "description": "Supports the scaling-gap argument. McKinsey reports widespread AI use but finds most organizations remain in experimentation or pilot stages, with only about one-third scaling AI enterprise-wide.",
        "id": "source:demo-debt:mckinsey-2025",
        "locator": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai",
        "publiclyExposed": true,
        "role": "adoption and scaling context",
        "title": "The State of AI: Global Survey",
        "type": "public-report"
      },
      {
        "description": "Supports the agentic AI hype and failure-risk argument. Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027 due to cost, unclear value, or inadequate risk controls, and warns about agent washing.",
        "id": "source:demo-debt:gartner-2025",
        "locator": "https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027",
        "publiclyExposed": true,
        "role": "agentic AI risk context",
        "title": "Agentic AI Cancellation Forecast",
        "type": "public-report"
      },
      {
        "description": "Supports the governance and workflow redesign argument. Deloitte distinguishes deep AI transformation from surface-level use and states governance is the difference between scaling successfully and stalling out.",
        "id": "source:demo-debt:deloitte-2026",
        "locator": "https://www.deloitte.com/de/de/issues/generative-ai/state-of-ai-in-enterprise.html",
        "publiclyExposed": true,
        "role": "governance and workflow context",
        "title": "The State of AI in the Enterprise",
        "type": "public-report"
      },
      {
        "description": "Supports the capability-gap argument. WEF identifies skill gaps as the biggest barrier to business transformation and says most employers plan to prioritize upskilling.",
        "id": "source:demo-debt:wef-2025",
        "locator": "https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/",
        "publiclyExposed": true,
        "role": "capability-gap context",
        "title": "Future of Jobs Report",
        "type": "public-report"
      },
      {
        "id": "source:shareplane-next:demo-debt:locked-page",
        "locator": "https://github.com/pinklon/pinklon-shareplane-next/blob/e7d7091cb3ee0f60340acab5f848de2140290366/content/artifacts/demo-debt/artifact.json",
        "role": "Anchors the owner-approved, merged, creatively locked public-safe source and its claim/provenance record.",
        "title": "Merged predecessor source record for Demo Debt",
        "type": "source-lineage"
      },
      {
        "id": "source:shareplane-platform-issue-7",
        "locator": "https://github.com/pinklon/shareplane-platform/issues/7",
        "role": "Governs platform-native corpus presentation and migration batches.",
        "title": "SharePlane Platform corpus design authority",
        "type": "governing-issue"
      }
    ]
  },
  "public": true,
  "public_safe_status": "accepted",
  "relationships": [
    {
      "label": "Authored by Tony Malott",
      "target_id": "person:tony-malott",
      "type": "authored_by"
    },
    {
      "label": "Governed by corpus presentation Issue #7",
      "target_id": "issue:shareplane-platform:7",
      "type": "governed_by"
    },
    {
      "explanation": "The worker-management model supplies the roles, evidence, bounded authority, supervision, and closure discipline that keep a successful demonstration from becoming unmanaged operational debt.",
      "label": "Replace the demo with an operating contract",
      "reader_group": "applications",
      "target_id": "artifact:stop-prompting-agents-start-managing-workers",
      "type": "application"
    },
    {
      "explanation": "Once demonstrations multiply, the constraint moves to human decisions, review, exceptions, integration, and closure—the organizational bottleneck developed in the strategic thesis.",
      "label": "Follow the debt into the attention bottleneck",
      "reader_group": "continue",
      "target_id": "artifact:the-agents-are-not-the-bottleneck-you-are",
      "type": "continuation"
    }
  ],
  "schema_version": "2.0.0",
  "semantic_status": "locked",
  "slug": "demo-debt",
  "source": {
    "content_status": "owner-approved-projection",
    "format": "markdown",
    "path": "content/artifacts/demo-debt/source.md",
    "predecessor_context_sha256": "01eb542ef86e2456566d4e510c8d0f54eb9037f8a5ac5cf1d845a146602e497d",
    "predecessor_page_blob": "23523ac281921767d0dfa7224db089a35d7d6930",
    "predecessor_page_sha256": "a6cf210cd11c5ad55e6b851dc9430a29741348d921196dfbc62e2a886b396333",
    "predecessor_repository_commit": "e7d7091cb3ee0f60340acab5f848de2140290366"
  },
  "subtitle": "The most expensive AI failures will not begin as broken systems. They will begin as impressive demos that nobody knew how to operationalize.",
  "thesis": "The demo proves the happy path; the real system begins where exceptions, ownership, recovery, and supportability enter the workflow.",
  "title": "Demo Debt",
  "topics": [
    "ai-governance",
    "operational-readiness",
    "workflow",
    "evaluation",
    "supportability"
  ],
  "type": "operational-ai-essay"
}
